CITS 3242 Programming Paradigms
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1 CITS 3242 Programming Paradigms Topic 8: Generic functions, sequences, sets and maps This topic covers a number of useful features of F# and it s libraries sequences: generic functions, sequences, sets, and maps. Recommended reading: to the end of Chapter 3 of Expert F#. 1
2 F# libraries F# comes with a small set of libraries. These provide immutable data structures and other support. They are in the namespace Microsoft.FSharp For everything else, F# is designed to depend on.net See start menu or C:\Program Files\Fsharp for documentation. Also on the web there s a link from the schedule page. Microsoft.Fsharp.Core includes the basic types: int float... FSharp.Core.Operators includes: + - = < cos fst char... (much more) FSharp.Collections includes: Lists Sequences Immutable sets and maps based on binary trees Arrays, including resizable ones (later these are imperative). We will see some more parts of Microsoft.Fsharp.Core later. FSharp.PowerPack is a dll assembly with modules that are less central or may change in future versions of F#. To use this you need to add it as a reference for your Visual Studio project. 2
3 Generic Functions The libraries include the following predefined generic functions that apply to any type of value, but which act differently depending on the type. val compare : 'a -> 'a -> int val (<) : 'a -> 'a -> bool val (>) : 'a -> 'a -> bool val min : 'a -> 'a -> 'a val hash : 'a -> int val (=) : 'a -> 'a -> bool val (<=) : 'a -> 'a -> bool val (>=) : 'a -> 'a -> bool val max : 'a -> 'a -> 'a Comparisons work as expected for basic types like int, float, string,... Tuples and lists: components are compared in order, recursively. This is called lexicographic ordering (it s like the dictionary order for words). For unions: follow the order of constructors in the type definition, and recursively compare if the constructor is the same. For functions: comparison isn t meaningful. In generally, comparing functions is not computable. Hashing works similarly via recursion. Defining the same function twice will yield different hash codes. You can override these defaults with your own functions (later). 3
4 Sequences Sequences are ordered-collections, like lists. However, unlike lists, sequences are evaluated as needed This is can be more efficient, and sequences can even be infinite. Sequences are defined just like list comprehensions. seq { for a in do yield (a, a*a) };; val it : seq<int * int> = seq [(1, 1); (2, 4); (3, 9); (4, 16);...] In fact, a list comprehension is just an abbreviation for a sequence comprehension followed by Seq.toList Sequences essentially allow generating a head element and a tail sequence, like the recursive function type: type a seq = Seq of unit -> ( a * a seq) // Parens not needed Sequences are important: all other collection types are subtypes. This includes lists, sets, and arrays (which we ll see later). Also, a seq is actually an abbreviation for the.net type IEnumerable<'a> which is the core.net interface for collections. 4
5 Working with sequences Comprehensions are the main way to produce sequences. Also, most of the list functions have versions for sequences: zip, map, length, nth, min, sort,... Other collection types can also be converted to and from sequences. Lists, sets, maps (as a seq of pairs), arrays. Any.NET collection type. A common pattern is to convert from another collection type, do some comprehensions, and then convert back. Functions that just scan a collection should generally accept a seq. If the an element is requested more than once, it is evaluated again. This can be inefficient so be careful. Using lists avoids this. You can also create a sequence that stores calculated elements via: val Seq.cache : seq<'a> -> CachedSeq<'a> 5
6 Sets Sets are a useful alternative to lists in some situations. They are implemented with binary trees, so allow fast checking for membership, and avoid duplicates. They can be created by starting from an empty list, and adding elements. There are functions in Fsharp.Collections.Set for just about everything: Union, difference,... Member, subset Conversion to and from lists (in sorted order) Example: let a = Set.ofSeq [ ] let b = Set.ofSeq [ ] > Set.subset c a;; val it : bool = true 6
7 Maps Maps are similar to sets, except that along with each key is a an associated value. let holidays = [ ( Christmas", "Dec. 25"); ("Halloween", "Oct. 31"); ("Darwin Day", "Feb. 12")] > Map.ofList;; // Convert list to Map val holidays : Map<string,string> holidays.["christmas"];; val it : string = "Dec. 25" See FSharp.Collections.Map for details of the functions available, including add, exists, filter, find, remove, tryfind. 7
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